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The commercial demand and the economic value of roasted and ground coffee (RGC) are intrinsically related to its quality. Brazilian RGC has been certified for quality based on a score assigned by expert tasters. However, intrinsic costs and the lack of fast techniques make large-scale analysis prohibitive. Laser induced breakdown spectroscopy (LIBS) is a promising technique for RGCs, however it demands an accurate coupled-model for pattern recognition. In this reported work, two ensemble methods in ranges around 680 nm of LIBS spectra are employed to construct ensembles of decision trees for RGC classification. Results show accuracies above 84 for ensemble methods in some spectral ranges. The best performances were in the range 670 690 nm, making viable the design of dedicated equipment with low-cost devices.